take-card.com 65 C
🛡️ SEO 54 🤖 GEO 87 ⚡ Perf 27 🏗️ Arch 72

take-card.com — Global SEODiff Score 65/100

take-card.com
📊

At 82/100, the ACRI for take-card.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places take-card.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. The token bloat ratio sits at a lean 3.5×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. The site allows access to some AI bots but restricts others, creating an uneven visibility profile across AI-powered services.

65
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (27) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)54 × 0.25 = 13.5
🤖 AI Readiness / GEO (40% weight)87 × 0.40 = 34.8
⚡ Performance (20% weight)27 × 0.20 = 5.4
🏗️ Architecture & Trust (15% weight)72 × 0.15 = 10.8
Weighted sum = 13.5 + 34.8 + 5.4 + 10.8
Global SEODiff Score = 65 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
80
Bot Access
avg 92
100
Rendering
avg 93
99
Structure
avg 35
42
Schema
avg 10
65
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #706927
-66 pts
Gap
AI (ACRI)
Top 4%
Score 82/100

take-card.com ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 4%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why take-card.com ranks here

Tech stackLaravel
RenderingSSR
Schema coverage1 blocks
Token bloat3.5×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • Create an llms.txt file so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt →
  • Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

54/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

35 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

283 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://take-card.com
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ar
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — متجر تيك كارد Take Card
  • ✓ og:description — يمكنك بضغطة زر واحدة شراء البطاقة التي تحبها من خلال تيك كارد وسيصلك الكود عبر رسالة نصية الى جوالك و نقدم لكم أفضل العروض والخصومات مع طرق دفع متنوعة وامنة
  • ✓ og:image — preview
  • ✓ twitter:card — summary_large_image
📐 How the SEO Pillar score is calculated

SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)

Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.

🤖

AI Readiness / GEO

87/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the infrastructure sector, safely.co.jp (ACRI: 90) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
take-card.com
74
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Blocked
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 99/100 — Excellent
Structured Elements 630 elements (630 lists, 0 rows, 0 headers)
Total Words2144
Raw Density29.4%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

85
AI Extractability
Medium
Crawl Cost
Low
Blocklist Risk
Extractability85/100 — AI models can easily extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskLow — 1 of 5 AI crawlers blocked

Token Bloat Research

28%
🗑️ 72%
Useful Content (101.2 KB)Bloat (250.8 KB)
Token Bloat Ratio3.5× — Lean

Multimodal Readiness

Visual Context12% Optimized for Vision
Image Alt Coverage8 / 69 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 12% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

38 Entropy
Poor Token Bloat: High
Noise Ratio: 71.3% · SNR: 0.40 · Signal: 25908 / Noise: 64217 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…
🧠

The LLM Interpretation

AI-VERIFIED

A local LLM (mlx-community/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of take-card.com and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
Buy cards with one click delivery code via SMS
Target Audience
Online shoppers looking for card purchases
Pricing Model
Not explicitly mentioned
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-27 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkLaravel
AI-Readiness Score65/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time2412 ms
Raw HTML Size352.1 KB
Visible Text Size101.2 KB

Performance & Speed

27/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2412 ms
Slow — bots may time out or deprioritise

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

2845
DOM nodes
352 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, must-revalidate, no-cache, no-store, private
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 How the Performance Pillar score is calculated

Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)

TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.

🏗️

Architecture & Trust

72/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

734
internal links
2
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

  • ✓ HSTS header (Strict-Transport-Security)
  • ✓ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ Accessibility Signals

  • ✓ HTML lang attribute → ar
  • ✓ Meta viewport for mobile
  • ✓ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated

Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)

Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.

🏅 AI-Verified Trust Badge

Your site scores 74/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for take-card.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/take-card.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=take-card.com" alt="AI-Verified by SEODiff" width="280" height="52"></a>

💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to take-card.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
take-card.com (this site) 74 82 Laravel 3.5× 1
kaffary.com 74 81 Laravel 4.4× 1 Compare →
build-station.com 75 81 Laravel 4.0× 1 Compare →
sportsbettingdime.com 74 82 Laravel 4.5× 1 Compare →
technim.nl 73 78 Laravel 4.1× 1 Compare →
alsanidi.com.sa 73 82 Laravel 4.2× 1 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to take-card.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Take-card",
  "url": "https://take-card.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://take-card.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Take-card?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Take-card does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Take-card work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Take-card."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for take-card.com:

Current Score
82
Projected Score
89
Improvement
+7 pts
Add WebSite schema +4 pts
Add FAQ schema +3 pts

*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.

📋 Data Export

Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).

All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

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🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history